Contains the statistics computed on the intensities of an image.
Information about the measurement named measurement can be accessed by using the method
measurementInformation() which returns a
FieldInformation
Information about the measurement named measurement can be accessed by using the property
measurementInformation which returns a
FieldInformation
Information about the measurement named measurement can be accessed by using the property
measurement_information which returns a
FieldInformation
Object members
Measurement name
Description
Element type
Indexing
Physical Information
pixelCount
The number of pixels in the image.
Unsigned integer
[channel, time]
COUNT
minimum
The image's minimum value of intensities.
Floating point
[channel, time]
INTENSITY
maximum
The image's maximum value of intensities.
Floating point
[channel, time]
INTENSITY
intensityRange
The number of levels for an integer image; maximum minus minimum for a floating image.
Floating point
[channel, time]
INTENSITY
mean
The image's mean value of intensities.
Floating point
[channel, time]
INTENSITY
standardDeviation
The image's standard deviation of intensities.
Floating point
[channel, time]
INTENSITY
skewness
The degree of asymmetry of the intensities distribution.
Floating point
[channel, time]
RATIO
kurtosis
The degree of peakedness of the intensities distribution.
Floating point
[channel, time]
RATIO
Object methods
Method
Description
void toDataFrame()
Convert the measurement to an IOLink.DataFrame
One or more "index" columns will be added at the beginning of the dataframe to identify
the different elements. For instance:
index [label]: The index of the label. This index systematically starts from 0
and is the label value minus 1 when all label values are represented.
When there are some missing label values, the corresponding label value cannot be
directly deduced from this index.
index [time]: The sequence index of a time series or of an image stack.
Method
Description
void ToDataFrame()
Convert the measurement to an IOLink.DataFrame
One or more "index" columns will be added at the beginning of the dataframe to identify
the different elements. For instance:
index [label]: The index of the label. This index systematically starts from 0
and is the label value minus 1 when all label values are represented.
When there are some missing label values, the corresponding label value cannot be
directly deduced from this index.
index [time]: The sequence index of a time series or of an image stack.
Method
Description
void to_data_frame()
Convert the measurement to an IOLink.DataFrame
One or more "index" columns will be added at the beginning of the dataframe to identify
the different elements. For instance:
index [label]: The index of the label. This index systematically starts from 0
and is the label value minus 1 when all label values are represented.
When there are some missing label values, the corresponding label value cannot be
directly deduced from this index.
index [time]: The sequence index of a time series or of an image stack.